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03414aam a22003738i 4500 001 CE8B971E6B5611E69AFE1DDBDAD10320 003 SILO 005 20160826010517 008 140624s2015 njua b 001 0 eng 010 $a 2014024314 020 $a 1118130669 (hardback) 020 $a 9781118130667 (hardback) 035 $a (OCoLC)807025887 040 $a DLC $b eng $e rda $c DLC $d BTCTA $d BDX $d UKMGB $d OCLCO $d OCLCF $d TXI $d IWA $d SILO 042 $a pcc 050 00 $a QA76.9 H85 E49 2015 245 00 $a Emotion recognition : $b a pattern analysis approach / $c edited by Amit Konar, Aruna Chakraborty. 263 $a 1502 264 1 $a Hoboken, New Jersey : $b John Wiley & Sons, Inc., $c [2015] 300 $a xxxi, 548 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 500 $a "Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro-fuzzy techniques, support vector machine (SVM), reinforcement learning, principal component analysis, the hidden Markov model, and probabilistic models. The result is a innovative edited volume on this timely topic for computer science and electrical engineering students and professionals"-- Provided by publisher. 505 0 $a Introduction to emotion recognition -- Exploiting dynamic dependencies among action units for spontaneous facial action recognition -- Facial expressions : a cross-cultural study -- A subject-dependent facial expression recognition system -- Facial expression recognition using independent component features and hidden Markov model -- Feature selection for facial expression based on rough set theory -- Emotion recognition from facial expressions using type-2 fuzzy sets -- Emotion recognition from non-frontal facial images -- Maximum a posteriori based fusion method for speech emotion recognition -- Emotion recognition in naturalistic speech and language : a survey -- EEG-based emotion recognition using advanced signal processing techniques -- Frequency band localization on multiple physiological signals for human emotion classification using DWT -- Toward affective brain-computer interface : fundamentals and analysis of EEG-based emotion classification -- Bodily expression for automatic affect recognition -- Building a robust system for multimodal emotion recognition -- Semantic audiovisual data fusion for automatic emotion recognition -- A multilevel fusion approach for audiovisual emotion recognition -- From a discrete perspective of emotions to continuous, dynamic, and multimodal affect sensing -- Audiovisual emotion recognition using semi-coupled hidden Markov model with state-based alignment strategy -- Emotion recognition in car industry. 650 0 $a Human-computer interaction. 650 0 $a Artificial intelligence. 650 0 $a Emotions $x Computer simulation. 650 0 $a Pattern recognition systems. 650 0 $a Context-aware computing. 700 1 $a Konar, Amit, $e editor of compilation. 700 1 $a Chakraborty, Aruna, $d 1977- $e editor of compilation. 941 $a 1 952 $l USUX851 $d 20210707012737.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=CE8B971E6B5611E69AFE1DDBDAD10320 994 $a C0 $b IWAInitiate Another SILO Locator Search